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Observational Constraints on The Evolution of Dust in ...

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Evoluti<strong>on</strong> <strong>of</strong> <strong>Dust</strong> <strong>in</strong> Protoplanetary Disks 143<br />

Figure 6.9 – Top: <strong>The</strong> ratio <strong>of</strong> normalized fluxes at 11.3 to 9.8 µm (S 11.3 /S 9.8 ) is plotted aga<strong>in</strong>st the<br />

peak at 10 µm (S 10µm<br />

peak ) for Serpens (black dots), Taurus (gray squares), Upper Scorpius (gray stars),<br />

η Chamaele<strong>on</strong>tis (gray triangles). Bottom: Squares show the median values and crosses <strong>in</strong>dicate the<br />

15 – 85 percentile ranges <strong>of</strong> the distributi<strong>on</strong>s (top panel). Colored curves are derived from theoretical<br />

opacities for different mixtures by Ol<strong>of</strong>ss<strong>on</strong> et al. (2009). <strong>The</strong> open circles corresp<strong>on</strong>d to different<br />

gra<strong>in</strong> sizes, from left to right 6.25, 5.2, 4.3, 3.25, 2.7, 2.0, 1.5, 1.25, 1.0 and 0.1 µm. (A color versi<strong>on</strong><br />

<strong>of</strong> this figure is available <strong>in</strong> the <strong>on</strong>l<strong>in</strong>e journal)<br />

Figure 6.10 – Left panel: Strength <strong>of</strong> the 10 µm silicate feature (S 10µm<br />

peak ) versus the mass-averaged<br />

mean gra<strong>in</strong> size for the warm comp<strong>on</strong>ent. Right panel: Strength <strong>of</strong> the 10 µm silicate feature versus<br />

crystall<strong>in</strong>e fracti<strong>on</strong> for the warm comp<strong>on</strong>ent. <strong>The</strong> best fit relati<strong>on</strong>ships are shown for reference.<br />

Symbols as <strong>in</strong> Figure 6.9. (A color versi<strong>on</strong> <strong>of</strong> this figure is available <strong>in</strong> the <strong>on</strong>l<strong>in</strong>e journal)<br />

fitt<strong>in</strong>g low strengths <strong>of</strong> the 10 µm silicate feature. Although it may be possible to<br />

fit a few spectra with a certa<strong>in</strong> prescripti<strong>on</strong>, a good model should be able to expla<strong>in</strong>

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